Overview
- The book consists of three parts: part I focuses multi-biometric systems. Part 2 deals with face recognition under changing circumstances (illumination, viewpoint, aging), Part 3 gives new solutions to benchmark face recognition systems while protecting privacy
- Edited book from scientists for researchers and professionals
- Includes supplementary material: sn.pub/extras
Part of the book series: Signals and Communication Technology (SCT)
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Table of contents (13 chapters)
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Front Matter
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Introduction
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Space/Time Emerging Face Biometrics
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Front Matter
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Generic Approaches to Multibiometric Systems
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Front Matter
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Back Matter
Keywords
About this book
This book provides an ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits including facial geometry, 3D ear form, fingerprints, vein structure, voice, and gait, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems. "Multi-sensory" refers to combining data from two or more biometric sensors, such as synchronized reflectance-based and temperature-based face images. "Multi-modal" biometrics means fusing two or more biometric modalities, like face images and voice timber. This practical reference contains four distinctive parts and a brief introduction chapter. The first part addresses new and emerging face biometrics. Emphasis is placed on biometric systems where single sensor and single modality are employed in challenging imaging conditions. The second part on multi-sensory face biometrics deals with the personal identification task in challenging variable illuminations and outdoor operating scenarios by employing visible and thermal sensors. The third part of the book focuses on multi-modal face biometrics by integrating voice, ear, and gait modalities with facial data. The last part presents generic chapters on multi-biometrics fusion methodologies and performance prediction techniques.
Editors and Affiliations
Bibliographic Information
Book Title: Face Biometrics for Personal Identification
Book Subtitle: Multi-Sensory Multi-Modal Systems
Editors: Riad I. Hammoud, Besma R. Abidi, Mongi A. Abidi
Series Title: Signals and Communication Technology
DOI: https://doi.org/10.1007/978-3-540-49346-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-49344-0Published: 05 February 2007
Softcover ISBN: 978-3-662-50064-4Published: 22 October 2016
eBook ISBN: 978-3-540-49346-4Published: 08 April 2007
Series ISSN: 1860-4862
Series E-ISSN: 1860-4870
Edition Number: 1
Number of Pages: XV, 275
Number of Illustrations: 68 illustrations in colour
Topics: Biometrics, Pattern Recognition, Signal, Image and Speech Processing, Biological and Medical Physics, Biophysics